Toughening Graphene With Topological Defects: A

Teng Zhang
School of Engineering,
Brown University,
Providence, RI 02912
Huajian Gao
School of Engineering,
Brown University,
Providence, RI 02912
e-mail: [email protected]
Toughening Graphene
With Topological Defects:
A Perspective
The low fracture toughness of graphene has raised sharp questions about its strength in
the presence of crack-like flaws. Here, we discuss a number of recent studies that suggest
some promising routes as well as open questions on the possibility of toughening graphene with controlled distributions of topological defects. [DOI: 10.1115/1.4030052]
Keywords: graphene, toughness, topological defects
It has been claimed that graphene, with the elastic modulus of 1
TPa and theoretical strength as high as 130 GPa, is the strongest
material [1]. However, from an engineering point of view, it is the
fracture toughness that determines the actual strength of materials,
as crack-like flaws (i.e., cracks, holes, notches, corners, etc.) are
inevitable in the design, fabrication, and operation of practical
devices and systems. Recently, it has been demonstrated that graphene has very low fracture toughness, in fact close to that of
ideally brittle solids [2]. These findings have raised sharp questions and are calling for efforts to explore effective methods to
toughen graphene.
Nanoscale defect engineering in the form of introducing grain
boundaries and twin boundaries have been widely employed to
improve the mechanical properties of many types of materials
including metals [3,4], ceramics [5], and diamond [6]. Nanotwinned cubic boron nitride [5] and diamond [6] exhibit higher
hardness and toughness than their defect-free counterparts. Recent
studies have also shown that nanoscale defects can be utilized to
enhance the fracture toughness of graphene. Zhang et al. [7,8]
investigated the properties of a sinusoidal graphene ruga1 containing periodically distributed disclination quadrupoles and found
from molecular dynamics (MD) simulations that the mode I fracture toughness of the selected sinusoidal graphene is around
25.0 J/m2, about twice that of the pristine graphene [8]. Jung et al.
[10] demonstrated that the fracture toughness of polycrystalline
graphene with randomly distributed grain boundaries could be
50% higher than that of the pristine graphene.
The above studies are suggesting that topological defects could
toughen graphene. Some fundamental questions could be immediately asked. (1) Why and how do defects toughen graphene? (2) Is
there an optimum distribution of defects that leads to the toughest
graphene? (3) Is it possible to fabricate graphene structures that
contain deliberately designed defect patterns?
On the first question, it appears that there exist at least three
mechanisms contributing to the toughness enhancement in graphene, i.e., dislocation shielding, stress reduction by out-of-plane
deformation and atomic-scale crack bridging. As illustrated in
Fig. 1(a), the compressive stress induced by a dislocation in graphene may significantly alleviate the stress concentration near a
crack tip. The out-of-plane deformation induced by defects could
also reduce the stress intensity at the crack tip, as shown in
Fig. 1(b) [8,10]. Also, as graphene with topological defects tends
to fail at bonds with high prestresses (usually in a heptagon ring
near a crack tip), the distributed defects could lead to discrete rupture events ahead of the main crack, leading to atomic-scale crack
1
The Latin word ruga is used to refer a large-amplitude state of wrinkles, creases,
ridges, or folds [9].
Manuscript received March 13, 2015; final manuscript received March 13, 2015;
published online March 30, 2015. Editor: Yonggang Huang.
Journal of Applied Mechanics
bridging [8]; see Fig. 1(c). While all three mechanisms can contribute to the observed toughness enhancement, a detailed, quantitative investigation has not been performed. At present, there is
still a general lack of understanding on various toughening mechanisms and their interactions in graphene.
On the second question, it will be extremely interesting to find
out if there indeed exists an optimum distribution of defects that
leads to the toughest graphene. To address this question, presumably one will need to solve a highly nonlinear optimization problem with multiple design variables including the type, position,
density, and spatial pattern of defects. In addition, simulations
involving bond failures will be needed to determine graphene
toughness under given distributions of defects. Thus, it seems
nearly impossible to employ conventional gradient type methods
to search for the optimal solution. Perhaps only by fully understanding the toughening mechanisms can one acquire the capability of systematically optimizing the toughness of graphene
through controlled topological defects. At the moment, it seems
more feasible to probe some locally optimal configurations for
specific families of defect patterns. For example, the toughness of
sinusoidal graphene [7,8] may be further enhanced by tuning the
aspect ratio between undulation amplitude and wavelength. One
should not underestimate the challenge even for this simplified
problem, as the defect pattern required to generate a prescribed
3D configuration of graphene is generally unknown. To address
this issue, Zhang et al. [8] proposed a design methodology combining the so-called phase field crystal method [11] and atomistic
simulations (Fig. 2), which can serve as a basis for optimizing the
toughness of graphene for specific families of 3D configurations.
As an extreme case of “defective” graphene, a recent calculation
based on the density functional theory has suggested the existence
of the so-called penta-graphene composed entirely of carbon pentagons following the Cairo pentagonal tilling [12]. The pentagraphene has no special cleavage planes and may exhibit higher
fracture toughness than the pristine graphene.
On the third question, it will be extremely interesting to develop
techniques to fabricate graphene structures with deliberately
designed defect patterns. Currently, chemical vapor deposition
(CVD) [13,14], a popular method to grow large scale graphene,
can only produce samples with randomly distributed defects. A
recent study has explored using irradiation to control the types
and positions of defects in graphene [15], which provides a promising way to make tailored graphene structures. Topological
defects, once formed in graphene, can seldom move owing to the
strong covalent bonding between carbon atoms. Another possibility is to grow graphene on a curved template with CVD. For
example, 3D porous graphene made of curved graphene has been
created with the aid of nickel foam [16]. Recent progress in fabricating 3D crystalline metallic structures with ultrasmooth nanoscale surface patterns [17] might further facilitate the design of
C 2015 by ASME
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Fig. 1 Toughening mechanisms induced by topological defects in graphene. (a) Dislocation shielding; (b) stress reduction
by out-of-plane deformation; and (c) atomic-scale crack bridging. The color represents normal stress ryy in (a) and (c) and outof-plane deformation in (b). Figure adapted from Ref. [8].
Fig. 2 A general methodology to design an arbitrary 3D curved graphene structure through
controlled distributions of topological defects. (a) The target curved surface. (b) A continuum
triangular pattern of density waves on the target curved surface generated by a phase field
crystal method. (c) A discrete triangular lattice network from the continuum density waves. (d)
The full-atom structure generated from a Voronoi construction from the triangular network,
followed by equilibration through MD simulations. Figure adapted from Ref. [8].
graphene with desired 3D topology, as it could be potentially used
as templates for CVD growth of graphene or as supporting substrates for graphene under irradiation.
It should be cautioned that the introduction of topological
defects is a double-edged sword, as dislocations and grain boundaries are also known to reduce the strength of graphene [18,19].
Similar to most other materials, there will be a tradeoff between
strength and toughness. For metals, it has been recognized that a
special type of hierarchical nanostructure with high densities of
twin boundaries embedded in polycrystalline grains can lead to
simultaneously high strength, high ductility and superior toughness [4,20,21]. Extending this concept to two-dimensional nanomaterials, it might also be possible to manipulate topological
defects in graphene to achieve high strength and high toughness,
and a systematic investigation of this issue is expected to have
051001-2 / Vol. 82, MAY 2015
far-reaching impact on exploring ultrastrong and tough twodimensional materials for broad applications ranging from flexible
electronics, water desalination devices, tissue scaffolds, protective
skins/coatings, to novel composites.
Acknowledgment
The authors gratefully acknowledge the financial support by
NSF through Grant No. CMMI-1161749.
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